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CalliGAN: Style and Structure-aware Chinese Calligraphy Character Generator

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arxiv 2005.12500 v1 pith:P2PXBNN7 submitted 2020-05-26 cs.CV

classification cs.CV
keywords chinesecharacterscalligraphymethodmodelproposestudiesapproach
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Chinese calligraphy is the writing of Chinese characters as an art form performed with brushes so Chinese characters are rich of shapes and details. Recent studies show that Chinese characters can be generated through image-to-image translation for multiple styles using a single model. We propose a novel method of this approach by incorporating Chinese characters' component information into its model. We also propose an improved network to convert characters to their embedding space. Experiments show that the proposed method generates high-quality Chinese calligraphy characters over state-of-the-art methods measured through numerical evaluations and human subject studies.

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Cited by 1 Pith paper

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  1. Advancements in Chinese font generation since deep learning era: A survey

    cs.CV 2025-08 conditional novelty 2.0 of 10

    A survey that classifies deep-learning Chinese font generation methods into many-shot and few-shot approaches, each with subcategories based on data pairing or feature type.

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